3DPVT
2006
IEEE
14 years 5 months ago
2006
IEEE
Using Epipolar Image Analysis in the context of the correspondence finding problem in depth reconstruction has several advantages. One is the elegant incorporation of prior knowl...
IJCNN
2007
IEEE
14 years 5 months ago
2007
IEEE
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
CHI
2009
ACM
14 years 6 months ago
2009
ACM
Prior knowledge is a critical resource for design, especially when designers are striving to generate new ideas for complex problems. Systems that improve access to relevant prior...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
When we take a picture through a window the image we obtain is often a linear superposition of two images: the image of the scene beyond the window plus the image of the scene ref...